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astronomical-software
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| Tablename | Tableinfo | Table desc. | Res desc. |
|---|---|---|---|
| ivoa.ObsCore | Table Info | The IVOA-defined obscore table, containing generic metadata for datasets within this datacenter. | Definition and support code for the ObsCore data model and table. |
| rob_spoca_ch.datalink | Table Info | SPoCA coronal holes datalink | *** SPoCA Coronal Hole *** This service provides a catalog of Coronal Holes obtained with the Spatial Possibilitistic Clustering Algorithm (SPoCA). Level 2 AIA 19.3nm images (calibrated and corrected for degradation) are used, at a cadence of one AIA image every 6 hours. Only coronal holes older than three days are being reported. Bounding box and characteristics such as areas and pixel intensity statistics, on AIA 19.3nm and HMI magnetogram images are provided. |
| rob_spoca_ch.epn_core | Table Info | SPoCA coronal holes | *** SPoCA Coronal Hole *** This service provides a catalog of Coronal Holes obtained with the Spatial Possibilitistic Clustering Algorithm (SPoCA). Level 2 AIA 19.3nm images (calibrated and corrected for degradation) are used, at a cadence of one AIA image every 6 hours. Only coronal holes older than three days are being reported. Bounding box and characteristics such as areas and pixel intensity statistics, on AIA 19.3nm and HMI magnetogram images are provided. |
| rob_spoca_ch.tracking | Table Info | SPoCA coronal holes tracking | *** SPoCA Coronal Hole *** This service provides a catalog of Coronal Holes obtained with the Spatial Possibilitistic Clustering Algorithm (SPoCA). Level 2 AIA 19.3nm images (calibrated and corrected for degradation) are used, at a cadence of one AIA image every 6 hours. Only coronal holes older than three days are being reported. Bounding box and characteristics such as areas and pixel intensity statistics, on AIA 19.3nm and HMI magnetogram images are provided. |
| tap_schema.columns | Table Info | Columns in tables available for ADQL querying. | Unnamed data center's Table Access Protocol (TAP) service with table metadata. |
| tap_schema.groups | Table Info | Columns that are part of groups within tables available for ADQL querying. | Unnamed data center's Table Access Protocol (TAP) service with table metadata. |
| tap_schema.key_columns | Table Info | Columns participating in foreign key relationships between tables available for ADQL querying. | Unnamed data center's Table Access Protocol (TAP) service with table metadata. |
| tap_schema.keys | Table Info | Foreign key relationships between tables available for ADQL querying. | Unnamed data center's Table Access Protocol (TAP) service with table metadata. |
| tap_schema.schemas | Table Info | Schemas containing tables available for ADQL querying. | Unnamed data center's Table Access Protocol (TAP) service with table metadata. |
| tap_schema.tables | Table Info | Tables available for ADQL querying. | Unnamed data center's Table Access Protocol (TAP) service with table metadata. |
| uset_sunspot_drawing.epn_core | Table Info | N/A | *** USET sunspot drawing *** The Uccle Solar Equatorial Table (USET) facility at the Royal Observatory of Belgium has gathered an uninterrupted series of sunspot drawings since year 1941. This collection continues to be updated when weather permits. This table provides information about these drawings. |
| uset_sunspot_drawing.epn_links | Table Info | USET links drawings and sunspots | *** USET sunspot drawing *** The Uccle Solar Equatorial Table (USET) facility at the Royal Observatory of Belgium has gathered an uninterrupted series of sunspot drawings since year 1941. This collection continues to be updated when weather permits. This table provides information about these drawings. |
| uset_sunspot_group.epn_core | Table Info | N/A | *** USET Groups *** Values in the USET sunspot group catalog are derived from the solar drawings obtained by the Uccle Solar Equatorial Table (USET) facility that is located at the Royal Observatory of Belgium. The USET sunspot group catalog covers 82 years of observations in 2021, and is updated every day. A home-made software (DigiSun) written in Python is used to derive quantities such as location and areas from the sunspot drawings. |